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    • Image registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsy

    Sarah Said

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    This work proposes a novel method for a matching tool between MRI and spot mammograms. Two registration methods are used : a biomechanical model based registration between MRI and full X-ray mammograms, followed by an image based registration between full and spot mammograms. The proposed methods have been tested using 51 patients from the Medical University of Vienna. For the analyzed dataset, the proposed methods showed not only promising results but also the feasibility of clinical use.

    Umfang: XIV, 238 S.

    Preis: 53.00 €

    Fächer:

    Elektrotechnik 

    Schlagwörter:

    Clinical Use Deep Learning algorithms Accumulative Registration Image Based Registration Biomechanical Model Registration Klinische Anwendung Deep Learning Algorithmen Akkumulative Registrierung Bildbasierte Registrierung Registrierung Biomechanischer Modelle

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    Empfohlene Zitierweise
    Said, S. 2024. Image registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsy. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000170686
    Said, S., 2024. Image registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsy. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000170686
    Said, S. Image Registration Between MRI and Spot Mammograms for X-ray Guided Stereotactic Breast Biopsy. KIT Scientific Publishing, 2024. DOI: https://doi.org/10.5445/KSP/1000170686
    Said, S. (2024). Image registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsy. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000170686
    Said, Sarah. 2024. Image Registration Between MRI and Spot Mammograms for X-ray Guided Stereotactic Breast Biopsy. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000170686



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    Dieses Buch wurde im Open Access Format publiziert. Es gelten die Bestimmungen der Creative Commons Attribution 4.0 Lizenz (falls nicht anders vermerkt). Sie berechtigt die uneingeschränkte Nutzung, Vervielfältigung und Verbreitung in jeglichen Medien, solange das Werk angemessen zitiert wird. Das Urheberrecht behalten die Autorinnen und Autoren.

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    Weitere Informationen

    Veröffentlicht am 7. August 2024

    Sprache

    Englisch

    Seitenanzahl:

    262

    ISBN
    Paperback 978-3-7315-1366-7

    DOI
    https://doi.org/10.5445/KSP/1000170686